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Yeast (Chichester, England)|October 24, 2018
Simulated microgravity triggers characteristic morphology and stress response in Saccharomyces cerevisiaeShota Nemoto, Shinsuke Ohnuki, Fumiyoshi Abe, et al.
Scientific Reports|December 9, 2025
Prediction of drug approvals in oncology using explainable artificial intelligenceTakashi Watanabe, Shota Nemoto, Hiroki Kato, et al.
Biology|September 14, 2022
Improving the Accuracy of Diagnosis for Multiple-System Atrophy Using Deep Learning-Based MethodYasuhiro Kanatani, Yoko Sato, Shota Nemoto, et al.
The Keio Journal of Medicine|November 23, 2017
Correlation of the Blood Test Results Obtained between Assays Using Microliter-scale Fingertip Blood Samples Collected with a Novel Blood Collection Device and Conventional Venous Blood Assays: a Secondary Publication in EnglishHajime Iwasawa, Tomoaki Nishimura, Shota Nemoto, et al.
Annals of Medicine|May 5, 2025
Explainable artificial intelligence for prediction of refractory ulcerative colitis: analysis of a Japanese Nationwide RegistryMasaya Sano, Yasuhiro Kanatani, Takashi Ueda, et al.
The Journal of Sports Medicine and Physical Fitness|September 15, 2023
Plasma myoglobin indicates muscle damage associated with acceleration/deceleration during footballYoshitomo Saita, Kazuhiko Hattori, Atsushi Hokari, et al.
Cancers|December 11, 2025
Analysis of Risk Factors for Colorectal Cancer Associated with Ulcerative Colitis Using Machine Learning: A Retrospective Longitudinal Study Using a National Database in JapanMiwa Hirai, Yasuhiro Kanatani, Takashi Ueda, et al.
Oncology Letters|December 4, 2012
Identification of pathogenesis-related microRNAs in hepatocellular carcinoma by expression profilingYuki Katayama, Moegi Maeda, Ken Miyaguchi, et al.
Bioinformation|February 23, 2012
Genome-wide integrative analysis revealed a correlation between lengths of copy number segments and corresponding gene expression profileKen Miyaguchi, Yutaka Fukuoka, Hiroshi Mizushima, et al.
International Journal of Infectious Diseases : IJID : Official Publication of the International Society for Infectious Diseases|March 18, 2026
Predicting Progression of Mycobacterium avium complex Pulmonary Disease with Treatment Using Explainable Artificial Intelligence TechniquesTakuya Ozawa, Takanori Asakura, Shotaro Chubachi, et al.
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